Spanly vs Spider Cloud

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-10-18
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At a glance

DimensionSpanlySpider Cloud
Target Use CaseMCP server observability: real-time tracing, error tracking, performance metrics for Model Context Protocol servers.Web data extraction for AI agents: crawling, scraping, structured output, and search API.
IntegrationsDatadog, Sentry, New Relic, OpenTelemetry, Slack, PagerDuty, GitHubLangChain, LlamaIndex, CrewAI, FlowiseAI, AutoGen, Agno, Dify, Google Cloud Storage, Amazon S3, Supabase
Data Retention30 days (free/paid), 90 days (Business), 365 days (Enterprise) - with multi-region US/EUNot specified; pay-as-you-go model likely retains data per request lifetime.
Open SourceSDK and CLI open source under Apache 2.0Core engine open source on GitHub
Best ForEngineering teams running MCP servers in production who need real-time traceability and alerting.Developers building AI agents or RAG pipelines that require real-time web data at scale.

Choose Spanly if you need dedicated observability for MCP servers in production—its real-time tracing, payload capture, and integrated alerting fill a gap APMs can't cover. Choose Spider Cloud if your AI agent requires fast, cost-effective web data extraction with structured output; its pay-as-you-go model and Rust engine make it ideal for high-volume scraping. Both are complementary, not directly competitive.

Try SpanlyTry Spider Cloud
Spanly
Spanly

Spanly traces every MCP JSON-RPC packet, scans live tool calls for agent exploits, and canary-tests patches on real sessions.

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Spider Cloud
Spider Cloud

Spider Cloud is a web scraping, crawling, and search API that streams live pages as markdown or JSON for AI agents and RAG pipelines.

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Pricing
Freemium
Freemium
Plans
$0/mo
$82.50/mo billed annually at $990
$415.83/mo billed annually at $4,990
Custom
$1/GB + $0.0001/CPU-min
From $6/mo
From $40/mo
Custom
Popularity
2 views
7.5k views
Skill Level
Advanced
Intermediate
API Available
Platforms
WebCLIAPI
WebAPIPluginCLIDesktop
Categories
🔌 MCP Servers & Agent Tooling📡 LLM Observability & Evals
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
Real-time MCP tracing with full JSON-RPC request and response capture
Packet-based metering: every request, response, and notification is one packet
P50/P95/P99 latency broken out per server, client, prompt, resource, and tool
CLI wrapper (spanly run) for zero-code-change instrumentation over stdio or HTTP
CLI reverse proxy (spanly proxy) in front of an already-running MCP server
TypeScript SDK with one-line Express/HTTP middleware (@spanly/sdk)
Python ASGI middleware for 3.10+ (spanly package)
Docker sidecar deployment path
MCP Gateway on a Spanly subdomain or your own domain (Business)
OpenTelemetry ingestion of MCP spans plus export back to your APM
132+ security scanners for prompt injection, tool poisoning, secrets, and schema issues
Live traffic screening of production tool calls, severity-ranked per tool
Patch workflow: draft a fix, canary or A/B test on live sessions, apply until upstream ships
Health monitors that inventory tools, prompts, and resources and alert on downtime
Client conformance monitoring across Claude Code, Cursor, Codex CLI, Windsurf, Copilot, and Zed
Scrape a single page into markdown, JSON, HTML, raw, or plain text
Crawl entire sites with each page streamed as one JSONL line in order as it finishes
Web search endpoint returns SERP results plus the scraped pages behind them
Custom browser renders like a user: scripts run, lazy images load, infinite scroll reaches the end
Load protected pages through a real browser engine with geo checks, returning a 200
Run full browser sessions over WebSocket with anti-detection and rotating exits
Send AI commands (Act, Extract, Observe) over the Browser API WebSocket
Send a prompt on a scrape or crawl request and get named fields back as JSON
Two-phase AI extraction: a fast model for most pages, a stronger model for complex layouts
Provider router sends scrape and crawl requests to outside providers on your own keys
Data connectors pipe crawl results into S3, GCS, Google Sheets, Azure Blob, or Supabase
Proxy network with 215M+ residential and ISP exits in 199 countries, rotated per request
MCP server at mcp.spider.cloud for Claude Code, Codex, Cursor, and Claude Desktop
1,000+ ready-made scraper examples across 32 categories, each with working code
API responses support JSON, JSONL, CSV, and XML; up to 10,000 core API requests per minute by default
Integrations
Datadog
Sentry
New Relic
OpenTelemetry
Slack
GitHub
Discord
LangChain
LlamaIndex
CrewAI
FlowiseAI
Langflow
Dify
Agno
MCP
Claude Code
Codex
Cursor
Claude Desktop
Amazon S3
Google Cloud Storage
Google Sheets

What real users say: Spanly vs Spider Cloud

Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.

Spanly

23 mentions across 3 sources · 40% positive — mixed (weighted across 3 sources)

Hacker News, YouTube, Product Hunt

What users praise

  • • Captures every JSON-RPC message, so p95 latency spikes come with an actual cause attached
  • • Zero-code CLI wrapper (npx spanly run) lowers adoption friction for existing MCP servers
  • • Tool-level and argument-level visibility is the exact blind spot HTTP APMs leave
  • • Per-client conformance across Claude Code, Cursor, Codex, Windurf, Copilot, and Zed is genuinely useful

What frustrates them

  • • No independent production reports — all community signal traces back to founder-led launches
  • • Single founder means support, security response, and roadmap ride on one person
  • • Per-packet billing punishes chatty MCP servers; every notification counts
  • • No documented payload-level redaction for prompts and arguments, only headers

Researched Sep 30, 2026

Spider Cloud

No verifiable community signal. We scanned public discussion on Oct 14, 2026 and found posts matching the name “Spider Cloud”, but could not establish that they are about this product rather than something else sharing its name. Rather than publish a score built on the wrong subject, we publish none.

Who should pick which

  • MCP Server Operator
    Pick: Spanly

    Spanly provides MCP-native observability with real-time tracing, error tracking, and performance metrics, which is essential for debugging and monitoring MCP servers in production.

  • AI Agent Developer
    Pick: Spider Cloud

    Spider Cloud offers a fast, reliable web data extraction API with structured output and integrations with LangChain/LlamaIndex, perfect for feeding real-time web data to AI agents.

  • Platform Engineer at a B2B SaaS
    Pick: Spanly

    If your SaaS integrates MCP, Spanly's audit logs, SSO, and data residency features help meet compliance and debugging needs.

  • RAG Pipeline Builder
    Pick: Spider Cloud

    Spider Cloud's low-cost, high-volume crawling and structured output make it ideal for keeping RAG indexes up-to-date with fresh web content.

  • Security-Conscious Team
    Pick: Spanly

    Spanly redacts headers in payload capture and supports EU/US data residency, with audit logs for MCP access monitoring (relevant against agentjacking attacks as per recent news).

Frequently Asked Questions

Spanly vs Spider Cloud: which should you choose?

Choose Spanly if you need dedicated observability for MCP servers in production—its real-time tracing, payload capture, and integrated alerting fill a gap APMs can't cover. Choose Spider Cloud if your AI agent requires fast, cost-effective web data extraction with structured output; its pay-as-you-go model and Rust engine make it ideal for high-volume scraping. Both are complementary, not directly competitive.

Can Spanly alert on anomalies in MCP tool calls?

Yes, Spanly's Business plan supports up to 100 alert rules that can be routed to Slack or PagerDuty based on custom conditions like error rates or latency thresholds.

Does Spider Cloud support crawling JavaScript-heavy sites?

Yes, Spider Cloud includes a Browser Cloud with stealth anti-detection and Browser AI commands (Act, Extract, Observe) via WebSocket, which can handle dynamic content and interact with pages.

How does Spanly compare to OpenTelemetry tracing for MCP?

Recent news (2026-06-11) explains that MCP OpenTelemetry tracing (per SEP-414) captures spans, while Spanly provides packet-level MCP observability with full payload capture. Spanly also integrates with OpenTelemetry via traceparent propagation.

Is Spider Cloud's open-source core fully self-hostable?

Yes, the core engine is available on GitHub, allowing self-hosting. However, the AI Studio and Browser Cloud features may require the cloud service.

What data retention options does Spanly offer?

Free and paid plans include 30-day retention; Business plan offers 90-day; Enterprise offers 365-day. Data can be stored in US or EU regions.

Can I use Spider Cloud with LangChain?

Yes, Spider Cloud has a LangChain integration documented, making it straightforward to use in LangChain-based agent pipelines.

Does Spanly capture errors with stack traces?

Yes, Spanly captures errors with full stack traces and the request context that led to the error.

Does Spider Cloud bill for failed requests?

No, failed requests are not billed. You only pay for successfully processed pages.

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Explore each tool further

Spanly
View Spanly reviewSpanly alternatives
Spider Cloud
View Spider Cloud reviewSpider Cloud alternatives

Browse these categories

Best AI MCP Servers & Agent Tooling toolsBest AI Web Scraping & Search APIs toolsBest AI LLM Observability & Evals toolsBest AI Browser & Computer-Use Agents tools
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Last reviewed: July 2, 2026